US 12,266,089 B2
Apparatus and method for performing artificial intelligence encoding and artificial intelligence decoding of image
Heechul Yang, Suwon-si (KR); Inhak Na, Suwon-si (KR); and Hyunkwon Chung, Suwon-si (KR)
Assigned to SAMSUNG ELECTRONICS CO., LTD., Suwon-si (KR)
Filed by SAMSUNG ELECTRONICS CO., LTD., Suwon-si (KR)
Filed on Dec. 30, 2021, as Appl. No. 17/566,283.
Application 17/566,283 is a continuation of application No. PCT/KR2021/017904, filed on Nov. 30, 2021.
Claims priority of application No. 10-2020-0165072 (KR), filed on Nov. 30, 2020.
Prior Publication US 2022/0172340 A1, Jun. 2, 2022
Int. Cl. G06T 7/00 (2017.01); G06N 3/045 (2023.01); G06N 3/08 (2023.01); G06T 5/40 (2006.01); G06T 5/50 (2006.01)
CPC G06T 7/0002 (2013.01) [G06N 3/045 (2023.01); G06N 3/08 (2013.01); G06T 5/40 (2013.01); G06T 5/50 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30168 (2013.01)] 16 Claims
OG exemplary drawing
 
1. A method, performed by a terminal, of performing artificial intelligence (AI) decoding, the method comprising:
obtaining, based on a first image, image feature information of the first image, the image feature information being related to an image quality degradation;
obtaining, based on the image feature information of the first image, neural network (NN) setting information of a first NN corresponding to an image quality degradation type of the first image, from among NN setting information of a plurality of first NNs which are pre-stored, wherein each first NN from among the plurality of first NNs corresponds to an image quality degradation type from among a plurality of image quality degradation types; and
obtaining, by using the first NN, a second image in which the image quality degradation is reduced.